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Encoding of linear kinetic plasma problems in quantum circuits via data compression

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abstract

We propose an algorithm for encoding of linear kinetic plasma problems in quantum circuits. The focus is made on modeling electrostatic linear waves in one-dimensional Maxwellian electron plasma. The waves are described by the linearized Vlasov-Amp\`ere system with a spatially localized external current that drives plasma oscillations. This system is formulated as a boundary-value problem and cast in the form of a linear vector equation $A\psi = b$ to be solved by using the quantum signal processing algorithm. The latter requires encoding of the matrix $A$ in a quantum circuit as a subblock of a unitary matrix. We propose how to encode $A$ in a circuit in a compressed form and discuss how the resulting circuit scales with the problem size and the desired precision.

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Solving the Nonlinear Vlasov Equation on a Quantum Computer

quant-ph · 2024-11-28 · conditional · novelty 6.0

For a 1+1 dimensional Vlasov model with Krook collisions, a Carleman linearization quantum algorithm has polynomially worse complexity than classical finite difference methods and requires unphysically large collision rates to provably converge.

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  • Solving the Nonlinear Vlasov Equation on a Quantum Computer quant-ph · 2024-11-28 · conditional · none · ref 39 · internal anchor

    For a 1+1 dimensional Vlasov model with Krook collisions, a Carleman linearization quantum algorithm has polynomially worse complexity than classical finite difference methods and requires unphysically large collision rates to provably converge.